Customereye

Goalkingdom

Apparel & Fashiongoalkingdom.com

Review data last updated .

Based on public reviews and response behavior.

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73 reviews over 711 days (about 3.1 per month). Busiest month: 36% of reviews. Languages: en 100%.

Overall Score

22/100
−33.3 vs. last month2.05 ★ average rating · 73 reviews
22/100 from 73 reviews over 6 months, limited confidence.

Apparel & Fashion average: score 64.9, rating 4.29 stars, reply rate 36.9%, over 3,001 ranked companies · benchmark 29 Oct 2026

Score

21.5

Industry average 64.9

43.4 below average

Rating

2.05

Industry average 4.29

2.24 below average

Reply rate

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Industry average 36.9%

not measured

Competitive Performance Rank

Among ranked Apparel & Fashion companies

#2979of 3001 ranked in Apparel & Fashion
Top 99% · Bottom Tierdown 90 from last month
#1 (best)#3001 (worst)
#2977Peer
#2978Peer
#2979This company
#2980Peer
#2981Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

22% of reviews positive, 78% negative

22%
positive
  • Positive22%
  • Neutral0%
  • Negative78%

Sentiment Balance

Covering December 2024 — 9 reviews, not the company's full review history.

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positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 0% of reviews in this period, with 100% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
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Theme Distribution

Share of theme mentions

Delivery Shipping
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Communication
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Customer Support
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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